svm_parameter.java
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1 package libsvm;
2 public class svm_parameter implements Cloneable,java.io.Serializable
3 {
4  /* svm_type */
5  public static final int C_SVC = 0;
6  public static final int NU_SVC = 1;
7  public static final int ONE_CLASS = 2;
8  public static final int EPSILON_SVR = 3;
9  public static final int NU_SVR = 4;
10 
11  /* kernel_type */
12  public static final int LINEAR = 0;
13  public static final int POLY = 1;
14  public static final int RBF = 2;
15  public static final int SIGMOID = 3;
16  public static final int PRECOMPUTED = 4;
17 
18  public int svm_type;
19  public int kernel_type;
20  public int degree; // for poly
21  public double gamma; // for poly/rbf/sigmoid
22  public double coef0; // for poly/sigmoid
23 
24  // these are for training only
25  public double cache_size; // in MB
26  public double eps; // stopping criteria
27  public double C; // for C_SVC, EPSILON_SVR and NU_SVR
28  public int nr_weight; // for C_SVC
29  public int[] weight_label; // for C_SVC
30  public double[] weight; // for C_SVC
31  public double nu; // for NU_SVC, ONE_CLASS, and NU_SVR
32  public double p; // for EPSILON_SVR
33  public int shrinking; // use the shrinking heuristics
34  public int probability; // do probability estimates
35 
36  public Object clone()
37  {
38  try
39  {
40  return super.clone();
41  } catch (CloneNotSupportedException e)
42  {
43  return null;
44  }
45  }
46 
47 }
static final int C_SVC
static final int NU_SVR
static final int LINEAR
static final int RBF
static final int SIGMOID
static final int PRECOMPUTED
static final int ONE_CLASS
static final int POLY
static final int EPSILON_SVR
static final int NU_SVC


ml_classifiers
Author(s): Scott Niekum , Joshua Whitley
autogenerated on Mon Feb 28 2022 22:46:49